2-day course

R Level 3: Interactive Data Dashboards

Learn how to create live, interactive dashboards to engage decision-makers and provide real-time business insights.

Course overview

This course will strengthen your current knowledge of R  programming and provide a comprehensive introduction to how the Shiny package can be used to discover and communicate insights through interactive dashboards.

Over two days you'll learn how to:

  • Create interactive dashboards with Shiny
  • Customise the appearance of Shiny dashboards
  • Use reactivity in the Shiny server

Learn in CodeClan's virtual, interactive classroom

CodeClan students all gathered in a video call while smiling and showing a thumbs up.

Learn in an immersive environment and stay motivated. What could take you several weeks, or even months, to learn on a self-paced online course will only take you two days in our Virtual Learning Environment – a fully interactive, live learning experience led by our expert instructors.

The third course in our R Series

The Interactive Data Dashboards course, the third in our R Series is aimed at people with experience in data analysis with R, Tidyverse and ggplot. 

If you don’t already have this experience, take a look at the first and second courses in the R Series: Data for Beginners (R) and R Level 2: Data Visualisations, both of which we recommend completing to give you the necessary data analysis background for creating dashboards.

A man is walking in front of a computer with a red screen. To his left are some plants and the whole picture is encased in a pink bubble.

Course cost & dates


You can pay online by card or request an invoice.

Instalments from £33.33*

Available through Knoma to spread the cost at 0% APR. *Paid monthly over 12 months. Knoma T&Cs apply.

Other funding options

Funding options such as Data Skills for Work are now available. Click here to find out more.

Next dates announced soon

Classes run remotely in CodeClan’s virtual interactive classroom from 9.30am to 5pm, with one hour for lunch.


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